The Interactive Tool for Control Relevant Identification (ITCRI) comprehensively captures the control-relevant identification process, from input design to closed-loop control, depicting these stages simultaneously and interactively in one screen. Control-relevance in ITCRI is accomplished primarily through prefiltering, which is evaluated using single-pass and two-step algorithms. By simultaneously displaying both open- and closed-loop responses of the estimated models and important control-relevant validation criteria (such as the multiplicative error), ITCRI enables the user to readily assess how design variable choices, control performance requirements, and model error can impact the achievable closed-loop performance from a restricted complexity model estimated under noisy conditions.